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Afternoon Data Analyst R Programming Jobs in West Bend, WI

Evans Transportation, Inc

Data Engineer

Delafield, WI · On-site

$109K - $131K/yr

THE POSITION Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that powers ...

Socket.dev

Data Engineer

Delafield, WI · On-site

$109K - $131K/yr

Description THE POSITION Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that ...

New

Deloitte

Data Engineer

Milwaukee, WI

$112K - $135K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

Evans Transportation Services LLC

Data Engineer

Delafield, WI · On-site

$109K - $131K/yr

Description THE POSITION Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that ...

Evans Transportation Services LLC

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Description THE POSITION Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that ...

Deloitte

Data Engineer II

Milwaukee, WI · On-site

$112K - $135K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

Hammes Company

Business Analyst

Milwaukee, WI · On-site

Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field. * At least one year of relevant experience preferred ...

Hammes Company

Business Analyst

Milwaukee, WI · On-site

Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field. * At least one year of relevant experience preferred ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in West Bend, WI

Afternoon Data Analyst R Programming information

See West Bend, WI salary details

$34.4K

$83.5K

$137.4K

How much do afternoon data analyst r programming jobs pay per year?

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in West Bend, WI is $83,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,000.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What cities near West Bend, WI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near West Bend, WI with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in West Bend, WI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,515 per year, or $40.2 per hour.

Data Engineer

Delafield, WI • On-site

Evans Transportation Services, LLC
Transportation and Warehousing • 51 - 200 employees
Learn more about Evans Transportation Services, LLCexternal

$109K - $131K/yr

Full-time

Posted 7 days ago

Job description

Description:

THE POSITION

Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making across Evans Transportation. This position owns the pipelines that move and transform data from source systems into clean, reliable, well-modeled datasets that analysts, data scientists, and business teams depend on.


Requirements:

ROLES AND RESPONSIBILITIES

  • Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT).
  • Model and structure data in warehouses and lakehouses to support reporting and analytics use cases.
  • Integrate data from a wide range of sources: databases, APIs, third-party platforms, and event streams.
  • Ensure data quality, reliability, and observability through testing, monitoring, and alerting.
  • Optimize pipeline and query performance and manage cost and scalability of data systems.
  • Implement and enforce data governance, security, and access-control best practices.
  • Collaborate with analysts, data scientists, and software engineers to understand requirements and deliver usable data products.
  • Document data flows, schemas, and processes to keep the platform maintainable.
  • Perform all other duties as assigned.

An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.

The above list reflects the general details necessary to describe the principle and essential functions of the position and shall not be construed as the only duties that may be assigned for the position.


MINIMUM QUALIFICATIONS AND REQUIREMENTS

Experience / Training: 3+ years of experience in data engineering or a closely related role. Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems. Strong problem-solving skills and attention to data quality and correctness.

Licenses / Certifications: None required

Technology / Equipment: Hands-on experience with a cloud data warehouse and/or lakehouse platform. Experience building pipelines with orchestration tools (e.g., Airflow, Dagster, or dbt for transformations). Familiarity with a major cloud provider, preferably Azure.


PREFERRED QUALIFICATIONS AND REQUIREMENTS

Experience / Training: Exposure to data governance, lineage, or catalog tools. Experience supporting machine learning or analytics teams in production.

Licenses / Certifications: None specified

Technology / Equipment: Infrastructure-as-code and CI/CD experience (Terraform, Docker, Git-based workflows). Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities. Experience with Microsoft Fabric and OneLake.


PHYSICAL AND MENTAL DEMANDS

While performing the duties of this job, the employee must be able to continuously sit, use a keyboard, calculator, and telephone. The employee is occasionally required to stand, walk, stoop, and/or kneel. The employee must occasionally lift and/or move up to 10 pounds while moving files or small packages. Specific vision abilities required by this job include close vision and the ability to adjust focus. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.


WORK ENVIRONMENT

Work is performed in an office environment, with hybrid/remote flexibility available for the ideal candidate. The noise level in the work environment is usually moderate. The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.

The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.